CGHAnalyzer: A stand-alone software package for cancer genome analysis using array-based DNA copy number data

Adam A. Margolin; Joel Greshock; Tara L. Naylor; Yael Mosse; John M. Maris; Graham Bignell; Alexander I. Saeed; John Quackenbush; Barbara L. Weber

doi:10.1093/bioinformatics/bti500

CGHAnalyzer: A stand-alone software package for cancer genome analysis using array-based DNA copy number data

Adam A. Margolin, Joel Greshock, Tara L. Naylor, Yael Mosse, John M. Maris, Graham Bignell, Alexander I. Saeed, John Quackenbush, Barbara L. Weber

Research output: Contribution to journal › Article › peer-review

26 Scopus citations

Abstract

Summary: This synopsis provides an overview of array-based comparative genomic hybridization data display, abstraction and analysis using CGHAnalyzer, a software suite, designed specifically for this purpose. CGHAnalyzer can be used to simultaneously load copy number data from multiple platforms, query and describe large, heterogeneous datasets and export results. Additionally, CGHAnalyzer employs a host of algorithms for microarray analysis that include hierarchical clustering and class differentiation.

Original language	English (US)
Pages (from-to)	3308-3311
Number of pages	4
Journal	Bioinformatics
Volume	21
Issue number	15
DOIs	https://doi.org/10.1093/bioinformatics/bti500
State	Published - Aug 1 2005
Externally published	Yes

ASJC Scopus subject areas

Statistics and Probability
Biochemistry
Molecular Biology
Computer Science Applications
Computational Theory and Mathematics
Computational Mathematics

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10.1093/bioinformatics/bti500

Cite this

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title = "CGHAnalyzer: A stand-alone software package for cancer genome analysis using array-based DNA copy number data",

abstract = "Summary: This synopsis provides an overview of array-based comparative genomic hybridization data display, abstraction and analysis using CGHAnalyzer, a software suite, designed specifically for this purpose. CGHAnalyzer can be used to simultaneously load copy number data from multiple platforms, query and describe large, heterogeneous datasets and export results. Additionally, CGHAnalyzer employs a host of algorithms for microarray analysis that include hierarchical clustering and class differentiation.",

author = "Margolin, {Adam A.} and Joel Greshock and Naylor, {Tara L.} and Yael Mosse and Maris, {John M.} and Graham Bignell and Saeed, {Alexander I.} and John Quackenbush and Weber, {Barbara L.}",

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AU - Margolin, Adam A.

AU - Greshock, Joel

AU - Naylor, Tara L.

AU - Mosse, Yael

AU - Maris, John M.

AU - Bignell, Graham

AU - Saeed, Alexander I.

AU - Quackenbush, John

AU - Weber, Barbara L.

PY - 2005/8/1

Y1 - 2005/8/1

N2 - Summary: This synopsis provides an overview of array-based comparative genomic hybridization data display, abstraction and analysis using CGHAnalyzer, a software suite, designed specifically for this purpose. CGHAnalyzer can be used to simultaneously load copy number data from multiple platforms, query and describe large, heterogeneous datasets and export results. Additionally, CGHAnalyzer employs a host of algorithms for microarray analysis that include hierarchical clustering and class differentiation.

AB - Summary: This synopsis provides an overview of array-based comparative genomic hybridization data display, abstraction and analysis using CGHAnalyzer, a software suite, designed specifically for this purpose. CGHAnalyzer can be used to simultaneously load copy number data from multiple platforms, query and describe large, heterogeneous datasets and export results. Additionally, CGHAnalyzer employs a host of algorithms for microarray analysis that include hierarchical clustering and class differentiation.

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CGHAnalyzer: A stand-alone software package for cancer genome analysis using array-based DNA copy number data

Abstract

ASJC Scopus subject areas

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